code: def _get_blind_start(shape):
      """
      Return the starting point from [4] 4.4
  
      References
      ----------
      .. [4] Andersen, Erling D., and Knud D. Andersen. "The MOSEK interior point
             optimizer for linear programming: an implementation of the
             homogeneous algorithm." High performance optimization. Springer US,
             2000. 197-232.
  
      """
      m, n = shape
      x0 = np.ones(n)
      y0 = np.zeros(m)
      z0 = np.ones(n)
      tau0 = 1
      kappa0 = 1
      return x0, y0, z0, tau0, kappa0
  
file_path: scipy/scipy/optimize/_linprog_ip.py
imports: import numpy
  import scipy
  import scipy.sparse
  from warnings import warn
  from scipy.linalg import LinAlgError
  from ._optimize import OptimizeWarning, OptimizeResult, _check_unknown_options
  from ._linprog_util import _postsolve
label_desc: Use image node_id 7 for calling a global function with example usage: _get_blind_start(shape) and returns: x0,  y0,  z0,  tau0,  kappa0